IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i20p4300-d1260505.html
   My bibliography  Save this article

Associations between the Avatar Characteristics and Psychometric Test Results of VK Social Media Users

Author

Listed:
  • Valeriia Stoliarova

    (St. Petersburg Federal Research Center of the Russian Academy of Sciences, 39, The 14th Line V.O, St. Petersburg 199178, Russia
    These authors contributed equally to this work.)

  • Fedor Bushmelev

    (St. Petersburg Federal Research Center of the Russian Academy of Sciences, 39, The 14th Line V.O, St. Petersburg 199178, Russia
    These authors contributed equally to this work.)

  • Maxim Abramov

    (St. Petersburg Federal Research Center of the Russian Academy of Sciences, 39, The 14th Line V.O, St. Petersburg 199178, Russia
    These authors contributed equally to this work.)

Abstract

Online social media has an increasing influence on people’s lives, providing tools for communication and self–representation. People’s digital traces are gaining attention as a reflection of their personality traits, enhancing the personality computing tasks in various areas. This study aims at the identification of statistical associations between psychometric scores from three questionnaires—the Big Five Inventory, Plutchik’s Lifestyle Index and the Eysenck Personality Questionnaire—and a set of graphical features of avatar images from the VK online social media that include the pixel characteristics from the HSV and RGB color models and the number of persons and faces depicted in an avatar. The problem is considered from the statistical point of view. The dependency between psychometric scores and the number of faces/persons is assessed with the Kruskal–Wallis test with Dunn test pairwise comparisons. The color-pixel characteristics that are associated with the psychometric scores are selected with several fits of the regularized regression with L 2 and MCP penalties. The data for the study were collected via a specially developed application for the online social media platform VK. The results of the analysis support existing research on how colors express personality and discover certain color-pixel image characteristics that could be used for personality computing models.

Suggested Citation

  • Valeriia Stoliarova & Fedor Bushmelev & Maxim Abramov, 2023. "Associations between the Avatar Characteristics and Psychometric Test Results of VK Social Media Users," Mathematics, MDPI, vol. 11(20), pages 1-21, October.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:20:p:4300-:d:1260505
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/20/4300/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/20/4300/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rietveld, Robert & van Dolen, Willemijn & Mazloom, Masoud & Worring, Marcel, 2020. "What You Feel, Is What You Like Influence of Message Appeals on Customer Engagement on Instagram," Journal of Interactive Marketing, Elsevier, vol. 49(C), pages 20-53.
    2. Meng, Keira Shuyang & Leung, Louis, 2021. "Factors influencing TikTok engagement behaviors in China: An examination of gratifications sought, narcissism, and the Big Five personality traits," Telecommunications Policy, Elsevier, vol. 45(7).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eigenraam, Anniek W. & Eelen, Jiska & Verlegh, Peeter W.J., 2021. "Let Me Entertain You? The Importance of Authenticity in Online Customer Engagement," Journal of Interactive Marketing, Elsevier, vol. 54(C), pages 53-68.
    2. Miranda, Sandra & Trigo, Inês & Rodrigues, Ricardo & Duarte, Margarida, 2023. "Addiction to social networking sites: Motivations, flow, and sense of belonging at the root of addiction," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    3. Gao, Mengjia & Huang, Lin, 2021. "Quality of channel integration and customer loyalty in omnichannel retailing: The mediating role of customer engagement and relationship program receptiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    4. Giuseppe Crapa & Maria Elena Latino & Paolo Roma, 2024. "The performance of green communication across social media: Evidence from large‐scale retail industry in Italy," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(1), pages 493-513, January.
    5. Zhao, Lu & Zhang, Mingli & Ming, Yaxin & Niu, Tao & Wang, Yu, 2023. "The effect of image richness on customer engagement: Evidence from Sina Weibo," Journal of Business Research, Elsevier, vol. 154(C).
    6. Rahman, Mahabubur & Faroque, Anisur R. & Sakka, Georgia & Ahmed, Zafar U., 2022. "The impact of negative customer engagement on market-based assets and financial performance," Journal of Business Research, Elsevier, vol. 138(C), pages 422-435.
    7. Qin Yang & Young-Chan Lee, 2022. "What Drives the Digital Customer Experience and Customer Loyalty in Mobile Short-Form Video Shopping? Evidence from Douyin (TikTok)," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    8. Fernando Santini & Wagner Junior Ladeira & Diego Costa Pinto & Márcia Maurer Herter & Claudio Hoffmann Sampaio & Barry J. Babin, 2020. "Customer engagement in social media: a framework and meta-analysis," Journal of the Academy of Marketing Science, Springer, vol. 48(6), pages 1211-1228, November.
    9. María Rocío Bonilla Quijada & José Luis Del Olmo Arriaga & David Andreu Domingo, 2021. "Insights into user engagement on social media. Findings from two fashion retailers," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 125-137, March.
    10. Jansen, Nora & Hinz, Oliver & Deusser, Clemens & Strufe, Thorsten, 2021. "Is the Buzz on? – A Buzz Detection System for Viral Posts in Social Media," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 1-17.
    11. Blanca I. Hernández-Ortega & Michael A. Stanko & Rishika Rishika & Francisco-Jose Molina-Castillo & José Franco, 2022. "Brand-generated social media content and its differential impact on loyalty program members," Journal of the Academy of Marketing Science, Springer, vol. 50(5), pages 1071-1090, September.
    12. Philp, Matthew & Jacobson, Jenna & Pancer, Ethan, 2022. "Predicting social media engagement with computer vision: An examination of food marketing on Instagram," Journal of Business Research, Elsevier, vol. 149(C), pages 736-747.
    13. Kaushik, Kapil & Mishra, Abhishek & Cyr, Dianne, 2023. "‘Riding out the pandemic’: The role of brand message appeals on social media in shaping consumer responses," Journal of Business Research, Elsevier, vol. 155(PA).
    14. Yu, Joanne & Egger, Roman, 2021. "Color and engagement in touristic Instagram pictures: A machine learning approach," Annals of Tourism Research, Elsevier, vol. 89(C).
    15. Gavilan, Diana & Fernández-Lores, Susana & Martinez-Navarro, Gema, 2020. "Vividness of news push notifications and users’ response," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    16. Silvia Solimene & Daniela Coluccia & Alessandro Bernardo, 2023. "Environmental Impact of Different Business Models: An LCA Study of Fresh Tomato Production in Italy," Sustainability, MDPI, vol. 15(13), pages 1-17, June.
    17. Syrdal, Holly A. & Myers, Susan & Sen, Sandipan & Woodroof, Parker J. & McDowell, William C., 2023. "Influencer marketing and the growth of affiliates: The effects of language features on engagement behavior," Journal of Business Research, Elsevier, vol. 163(C).
    18. Ngai, Eric W.T. & Wu, Yuanyuan, 2022. "Machine learning in marketing: A literature review, conceptual framework, and research agenda," Journal of Business Research, Elsevier, vol. 145(C), pages 35-48.
    19. David Gligor & Siddik Bozkurt & Emma Welch, 2023. "Building theoretical sand castles: the case of customer brand engagement," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 297-316, September.
    20. María Bonilla-Quijada & Juan Tugores-Ques & Josep Lluís Olmo Arriaga, 2021. "Promotion of urban tourism: insights into user engagement on social media," Information Technology & Tourism, Springer, vol. 23(4), pages 611-632, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:20:p:4300-:d:1260505. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.